Daily Archives: September 30, 2018

Sports Analytics Methods – Expected Possession Value Using Optical Tracking Data

This is a review of the optical tracking research conducted by Dan Cervone, Alexander D’Amour, Luke Bornn, and Kirk Goldsberry. The key moment of an offensive play in a basketball game may not be when the points are scored at the end of the possession. It may have occurred earlier in the possession with a…

Sports Analytics Methods – Data Driven Ghosting with Deep Imitation Learning

This is a review of the data driven ghosting with deep imitation learning research conducted by Hoang M. Le, Peter Carr, Yisong Yue, and Patrick Lucey. Statistics typically compare players and teams to the league average. However, this can be very limiting. A coach may want to compare their team against an opposing team rather…